CN117634826A - Intelligent building state monitoring management system based on cloud computing and multidimensional data - Google Patents
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Abstract
The invention discloses an intelligent building state monitoring and management system based on cloud computing and multidimensional data, which belongs to the technical field of intelligent building state monitoring and management and comprises a monitoring module, a matched evaluation module, an opinion feedback module and a personality management module; the monitoring module is used for monitoring the intelligent building in real time, acquiring monitoring data corresponding to each monitoring item, and displaying the monitoring data in a preset building monitoring model in real time; the opinion feedback module receives feedback data uploaded by households and stores the feedback data in corresponding storage nodes; based on the feedback data stored in the storage node, generating a resident opinion portrait corresponding to the resident according to a preset portrait template; the matched evaluation module evaluates the matched equipment, and the building monitoring model is subjected to regional division to form a plurality of unit management areas; setting target management standards corresponding to each unit management area; the personality management module is used for performing personalized management on each unit management area.
Description
Technical Field
The invention belongs to the technical field of intelligent building state monitoring and management, and particularly relates to an intelligent building state monitoring and management system based on cloud computing and multidimensional data.
Background
With the demands of modern society for efficiency, safety and sustainability of buildings; and the acceleration of the urban process and the growth of population, the number and the scale of buildings are continuously increased, and higher requirements are put on the management and maintenance of the buildings. Traditional building management modes often rely on manual inspection and manual operation, are low in efficiency and are prone to overlooking. The intelligent building state monitoring management system can monitor various states of a building in real time by utilizing advanced technologies such as the Internet of things, big data, artificial intelligence and the like, and provide data analysis and intelligent control, so that the running efficiency, safety and sustainability of the building are improved. In addition, with the increasing prominence of energy crisis and environmental problems, energy conservation and emission reduction are the focus of global attention. The intelligent building state monitoring management system can provide energy conservation advice and control strategies through real-time monitoring and optimization of building energy consumption, and helps the building to realize efficient utilization of energy and reduce influence on environment. Therefore, the intelligent building state monitoring and managing system meets the requirements of the modern society on building efficiency, safety and sustainability, improves the management level and operation efficiency of the building, and provides a more comfortable, safe and energy-saving building environment for users.
However, the existing intelligent building state monitoring and management system has the following problems:
1. the lack of a supporting assessment requires the intelligent building status monitoring management system to be integrated with a variety of different devices and systems, including sensors, control devices, security systems, etc. If the technical compatibility between these devices and the system is not good, the stability and reliability of the system may be affected; the current intelligent building state monitoring management systems ignore the problem, and even if some users find the phenomenon, the method adopted generally performs manual checking and verification by corresponding technicians when the intelligent building state monitoring management systems are installed, so that the efficiency is low, and the omission condition is easy to occur.
2. The management lacks individuation, along with the improvement of the living standard of people, the requirements of people on the living quality are higher and higher, and the current intelligent building state monitoring management system is used for unified management in a building, so that the monitoring and management in certain aspects cannot meet the requirements of some households and do not meet the concept of fully serving the households; the individual management of each resident is difficult to carry out only by relying on manual experience and a small amount of resident feedback; in particular, many households do not want to spend more time feeding back to the manager.
Disclosure of Invention
In order to solve the problems of the scheme, the invention provides an intelligent building state monitoring and management system based on cloud computing and multidimensional data.
The aim of the invention can be achieved by the following technical scheme:
the intelligent building state monitoring management system based on cloud computing and multidimensional data comprises a monitoring module, a matched evaluation module, an opinion feedback module and a personality management module;
the monitoring module is used for monitoring the intelligent building in real time, acquiring monitoring data corresponding to each monitoring item, displaying the acquired monitoring data in a preset building monitoring model in real time, wherein each monitoring item is arranged in the building monitoring model and corresponds to each display node, and the display nodes are used for displaying the acquired data of the corresponding acquisition equipment.
The opinion feedback module is used for each resident in the intelligent building to use and receive feedback data uploaded by the resident, and the obtained feedback data is stored in a corresponding storage node; generating a resident opinion portrait corresponding to the resident according to a preset portrait template based on the feedback data stored in the storage node; acquiring resident information, and storing the resident information and the resident opinion portrait in the storage node; and processing the feedback data stored in the storage node to obtain corresponding check adjustment feedback data and manual feedback data, and sending the obtained manual feedback data to corresponding management personnel.
Further, the method for processing the feedback data stored in the storage node includes:
presetting feedback types, and identifying the feedback data stored in the storage node according to the feedback types to obtain feedback type data corresponding to the feedback types; integrating the feedback type data to form checking and adjusting feedback data; and integrating the feedback data which do not belong to the feedback types into artificial feedback data.
The matched evaluation module is used for evaluating all matched equipment, and the evaluation process is as follows:
identifying a building monitoring model, and dividing areas according to the building monitoring model to form a plurality of unit management areas; correspondingly marking each obtained unit management area in a building monitoring model;
setting evaluation adjustment standards corresponding to each unit management area, acquiring historical monitoring data corresponding to each unit management area, analyzing whether the historical monitoring data can reach the corresponding evaluation adjustment standards, and identifying corresponding adjustment items; and sending the obtained adjustment items to corresponding management personnel, carrying out corresponding matched adjustment decisions by the management personnel, and correspondingly adjusting the evaluation adjustment standard according to the adjustment decisions to obtain target management standards corresponding to each unit management area.
Further, the method for dividing the area according to the building monitoring model comprises the following steps:
step SA1: identifying each unit area in the building monitoring model, and correspondingly marking each unit area in the building monitoring model;
identifying each matched device according to a preset directory table, and obtaining a corresponding functional range of each matched device; marking each matched device and the corresponding functional range in the building monitoring model correspondingly;
step SA2: identifying each matched device with the functional range not smaller than the unit area, and marking the matched device as a reference device; marking the functional range corresponding to the reference equipment as a reference range;
step SA3: marking reference units in the unit area, and identifying each reference device whose reference range includes the reference units;
when there is no reference device including the reference unit, step SA5 is entered;
when reference equipment comprising the reference unit exists, marking the reference equipment as standard equipment, and combining the reference unit with a next-stage unit area to form a new reference unit; step SA4 is entered; if no next level unit area exists, entering step SA5;
step SA4: identifying whether the reference range of each target device includes a reference unit;
when the reference unit is not included, proceeding to step SA5;
when the reference unit is included, combining the reference unit with a next-stage unit area to form a new reference unit, and if the next-stage unit area is not present, entering step SA5; looping step SA4 until none of the target devices includes the reference unit;
step SA5: taking the reference unit as a unit management area;
step SA6: step SA3 is returned to until no cell area.
Further, the method for setting the evaluation adjustment standard of the unit management area includes:
identifying households corresponding to each unit management area, butting corresponding storage nodes according to the identified household information, and identifying corresponding check adjustment feedback data in the storage nodes; and analyzing the obtained check adjustment feedback data to obtain an evaluation adjustment standard corresponding to each unit management area.
Further, the method for analyzing the obtained check adjustment feedback data comprises the following steps:
identifying feedback classification data corresponding to each resident in the unit management area according to the checking and adjusting feedback data, identifying feedback requirements of the resident according to the feedback classification data, and screening the feedback requirements to obtain corresponding target requirements;
dividing the target demand into similar demands and independent demands, identifying households corresponding to the similar demands, marking the households as target households, marking the target households as i, wherein i=1, 2, … …, n and n are the number of the target households; marking a demand value corresponding to the similar demands as TSi;
acquiring resident opinion images of each target resident, identifying the corresponding historical feedback times and demand proportion of each target resident in the similar demands according to the resident opinion images, and marking the historical feedback times and the demand proportion as Ci-freq and Xi-weight respectively;
then the formula is adjusted according to the standardCalculating standard requirement values corresponding to the similar requirements, wherein: t.par is the standard requirement value; y.par is the original standard required value;
identifying a demand value corresponding to each individual demand, and marking the demand value as TS, wherein the standard demand value T.par=Y.par+TS;
and (5) sorting the obtained standard requirement values to form an evaluation adjustment standard.
Further, the method for screening the feedback requirement comprises the following steps:
summarizing feedback requirements corresponding to each resident, simulating various feedback requirements to form a simulation requirement, and building a corresponding judgment model based on the simulation requirement, wherein the expression of the judgment model is as followsWherein x represents a corresponding feedback demand, and a represents an abnormal demand; the input of the judgment model is feedback demand, and the output is judgment result y, y=g (x); analyzing each feedback demand through a judgment model to obtain the corresponding feedback demandAnd marking the feedback demand of the judgment result y=0 as the target demand.
The individuality management module is used for individualizing management of each unit management area, butting the building monitoring model and identifying monitoring data of each unit management area in the building monitoring model in real time; and acquiring target management standards of each unit management area, and dynamically managing corresponding equipment of the unit management area according to the target management standards and the monitoring data.
Compared with the prior art, the invention has the beneficial effects that:
the intelligent management of the intelligent building is realized through the mutual coordination among the monitoring module, the matched evaluation module, the opinion feedback module and the individual management module, and meanwhile, the individual service of each resident in the intelligent building is realized, and the management quality is improved. Through setting up opinion feedback module, be convenient for each householder upload relevant opinion and suggestion at any time, avoid because it spends more time and lead to each resident to be unwilling to feed back the opinion for lack sufficient feedback data and lead to can not better service each resident, and provide data support for follow-up supporting evaluation module and individual management module.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the intelligent building state monitoring and managing system based on cloud computing and multidimensional data comprises a monitoring module, a matched evaluation module, an opinion feedback module and a personality management module;
the monitoring module is used for monitoring by utilizing all functions in the existing intelligent building state monitoring management system, such as temperature, humidity, various energy consumption, illumination and the like, and monitoring by utilizing the original sensing acquisition equipment, so as to acquire the monitoring data corresponding to all monitoring items in real time; building a three-dimensional building model corresponding to the intelligent building according to the existing drawings such as a building drawing and a building diagram of the intelligent building, setting corresponding display nodes at corresponding positions in the three-dimensional building model according to the positions of the acquisition equipment corresponding to each monitoring item and the data display requirements, displaying the acquired data of each sensor through each display node, and marking the current three-dimensional building model as a building monitoring model; the monitoring data corresponding to one monitoring item comprises the acquisition data of each acquisition device corresponding to the monitoring item.
The opinion feedback module is used for each resident in the intelligent building, the resident can upload the opinion and advice of the resident to the position in the intelligent building at any time through the opinion feedback module to form feedback data of the resident, the feedback data are stored in storage nodes corresponding to the resident, and the storage nodes store resident information and resident opinion images corresponding to the resident; the resident information comprises data such as a user number, an address and the like; the resident opinion portraits are generated according to the feedback data of the resident in the storage node, can be set by utilizing the existing portraits generation technology, are used for rapidly counting the related data such as feedback type, specific gravity, feedback time distribution and the like of the resident, and can be preset with corresponding portraits templates so as to generate the resident opinion portraits by counting according to the corresponding data.
Presetting various feedback types, wherein the feedback types can be used for subsequent checking and adjustment, such as feedback with incomplete monitoring data, temperature adjustment feedback, humidity adjustment feedback and the like, and the various feedback types are specifically required to be set according to actual monitoring requirements; identifying feedback data stored in the storage node according to each feedback type to obtain feedback type data corresponding to each feedback type; integrating the feedback type data to form checking and adjusting feedback data of the resident; integrating feedback data which do not belong to the feedback types into manual feedback data, namely uploading other feedback opinions by households, which do not belong to the analysis range, and requiring manual processing by staff; and sending the obtained manual feedback data to corresponding management personnel.
Through setting up opinion feedback module, be convenient for each householder upload relevant opinion and suggestion at any time, avoid because it spends more time and lead to each resident to be unwilling to feed back the opinion for lack sufficient feedback data and lead to can not better service each resident, and provide data support for follow-up supporting evaluation module and individual management module.
The matched evaluation module is used for evaluating all matched equipment, and the evaluation process is as follows:
identifying a building monitoring model, and obtaining the position of each resident in the building monitoring model, the position of each matched equipment and the processing range for regional division to form a plurality of unit management areas; corresponding marking is carried out on each obtained unit management area in the building monitoring model;
identifying households corresponding to each unit management area, butting corresponding storage nodes according to the identified household information, and identifying corresponding check adjustment feedback data in the storage nodes; analyzing the obtained check adjustment feedback data to obtain an evaluation adjustment standard corresponding to each unit management area;
acquiring historical monitoring data corresponding to each unit management area, analyzing whether the historical monitoring data can reach corresponding evaluation adjustment standards, and identifying corresponding adjustment items, such as missing items, items which cannot be adjusted, and the like; the obtained adjustment items are sent to corresponding management personnel, and the management personnel carries out corresponding matched adjustment decisions; if it is determined whether to make the relevant decision of the adjustment item, how to adjust, etc.;
correspondingly adjusting the evaluation adjustment standard according to the adjustment decision to obtain a target management standard corresponding to each unit management area; if the adjustment item is not adjusted, or is managed according to the original management standard, the adjustment item to be adjusted is adjusted according to the evaluation adjustment standard, and the target management standard of the unit management area is formed after all the adjustment items are completed.
The method for analyzing the obtained check adjustment feedback data comprises the following steps:
identifying feedback classification data corresponding to each resident in the management area of the feedback data identification unit according to the check adjustment, and identifying feedback requirements of the resident according to the feedback classification data, such as temperature requirements, humidity requirements, illumination requirements, monitoring type adjustment requirements and the like; performing recognition analysis by using the existing data recognition analysis technology, and determining feedback requirements corresponding to the feedback classification data;
summarizing feedback requirements corresponding to each resident, simulating various possible feedback requirements to form a simulation requirement, and establishing a corresponding judgment model based on the simulation requirement, wherein the expression of the judgment model is as follows
Wherein x represents a corresponding feedback demand, A represents an abnormal demand, namely the feedback demand does not meet the requirement, a large number of simulation demands are utilized for training and building, the input of a judgment model is the feedback demand, and the output is a judgment result y, and y=G (x); and analyzing each feedback demand through a judgment model to obtain a judgment result corresponding to each feedback demand, and marking the feedback demand with the judgment result of y=0 as a target demand.
Dividing target requirements into similar requirements and independent requirements, wherein the similar requirements are target requirements of different households corresponding to the same feedback type, and the independent requirements are target requirements which are only put forward by one household;
identifying households corresponding to similar demands, marking the households as target households, and marking the target households as i, i=1, 2, … … and n, wherein n is the number of the target households; marking a demand value corresponding to the similar demands as TSi; such as how much the temperature adjustment changes, how much the humidity adjustment changes, the illumination intensity adjustment changes (as adjusted by 10%); the corresponding numerical mode is set for each feedback type, most of the demands are direct numerical values, the demands can be directly applied, and partial demands which cannot obtain numerical values are converted by presetting corresponding conversion relations, such as conversion according to different adjustment degrees, and the descending or rising percentages;
acquiring resident opinion images of each target resident, identifying the corresponding historical feedback times of each target resident in the similar demands and the proportion occupied by each historical feedback type according to the resident opinion images, marking the historical feedback times and the demand proportion as the demand proportion, and marking the acquired historical feedback times and the demand proportion as Ci-freq and Xi-weight respectively;
then the formula is adjusted according to the standardCalculating a standard requirement value corresponding to the similar requirement, wherein: t.par is the standard requirement value; y.par is the original standard required value;
identifying a demand value corresponding to each individual demand, and marking the demand value as TS, wherein the standard demand value T.par=Y.par+TS;
and (3) sorting the obtained standard demand values, and combining the standard demand values corresponding to no corresponding demand to form an evaluation adjustment standard.
The method for dividing the areas according to the building monitoring model comprises the following steps:
step SA1: identifying each unit area in the building monitoring model, wherein the unit areas are determined according to the layered layout of the intelligent building, if the intelligent building is 2 units, each unit is not communicated, each unit is a ladder with two households, each unit in each layer is provided with one unit area, namely the area corresponding to the two households in one ladder is one unit area, and one layer of the intelligent building is provided with 2 unit areas; if a unit is provided and all households in one layer can be communicated through the public area, the one layer is a unit area; in general, the two cases or similar cases are commonly adopted, corresponding unit area identification rules are formulated, identification is performed according to the unit area identification rules, and each unit area is determined.
The unit areas are correspondingly marked in a building monitoring model, all matched equipment such as various acquisition equipment, control equipment and the like are identified according to a preset directory table, and some equipment which is not analyzed or does not participate in analysis and the like are not listed in the directory table, and mainly aiming at equipment for adjusting and monitoring all floors such as air-conditioning control equipment of each layer, alarm equipment of one of several layers and the like;
acquiring a corresponding responsible range of each matched device, namely an acquisition range of the acquisition device and a control range of the control device, such as the temperature of which floors the air conditioner is used for controlling; the obtained functional range responsible for range marking; marking each matched equipment and corresponding functional range in a building monitoring model correspondingly;
step SA2: identifying each matched device with the functional range not smaller than the unit area, and marking the matched device as a reference device; marking a functional range corresponding to the reference equipment as a reference range;
marking reference units in the unit areas, wherein the reference units are generally unit areas corresponding to the bottom layers of the intelligent buildings, and the unit areas corresponding to the top layers can be selected as the reference units;
step SA3: identifying each reference device whose reference range includes a reference unit; the reference range completely covers the reference unit, and if the reference range is the reference unit after being combined and updated, a new reference unit is covered;
when there is no reference device including a reference unit, step SA5 is entered;
when reference equipment comprising reference units exists, marking the corresponding reference equipment as standard equipment, and combining the reference units with the next-stage unit area to form new reference units; step SA4 is entered; the next-stage unit area is performed according to floors, for example, a building unit is orderly sequenced from bottom to top, and an initial reference unit is a unit area of a bottom layer, so that the next-stage unit area of the reference unit is a unit area of a layer (a second layer) above the building unit; when the unit area and the reference unit are marked, the corresponding unit area sequence list can be synchronously set;
step SA4: identifying whether the reference range of each target device includes a reference unit;
when the reference cell is not included, step SA5 is entered;
when the reference unit is included, combining the reference unit with the next-stage unit area to form a new reference unit; continuing to judge whether the reference range of each target device comprises a reference unit or not until each target device does not comprise the reference unit;
step SA5: the reference unit is taken as a unit management area.
Step SA6: step SA3 is returned to until no cell area.
If there is no next level cell area, go directly to step SA5.
The individual management module is used for carrying out individual management on each unit management area, abutting against the building monitoring model and identifying monitoring data of each unit management area in the building monitoring model in real time; and acquiring target management standards of each unit management area, and dynamically managing corresponding equipment of the unit management area according to the acquired target management standards and corresponding monitoring data.
The intelligent management of the intelligent building is realized through the mutual coordination among the monitoring module, the matched evaluation module, the opinion feedback module and the individual management module, and meanwhile, the individual service of each resident in the intelligent building is realized, and the management quality is improved.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are obtained by simulating a large amount of data.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (8)
1. The intelligent building state monitoring and managing system based on cloud computing and multidimensional data is characterized by comprising a monitoring module, a matched evaluation module, an opinion feedback module and a personality management module;
the monitoring module is used for monitoring the intelligent building in real time, acquiring monitoring data corresponding to each monitoring item, and displaying the monitoring data in a preset building monitoring model in real time;
the opinion feedback module is used for each resident in the intelligent building, receiving feedback data uploaded by the resident, and storing the feedback data in a corresponding storage node; generating a resident opinion portrait corresponding to the resident according to a preset portrait template based on the feedback data stored in the storage node; acquiring resident information, and storing the resident information and the resident opinion portrait in the storage node; processing the feedback data stored in the storage node to obtain corresponding check adjustment feedback data and manual feedback data, and sending the manual feedback data to corresponding management personnel;
the matched evaluation module is used for evaluating all matched equipment, identifying a building monitoring model, and dividing areas according to the building monitoring model to form a plurality of unit management areas; correspondingly marking each obtained unit management area in a building monitoring model;
setting evaluation adjustment standards corresponding to each unit management area, acquiring historical monitoring data corresponding to each unit management area, analyzing whether the historical monitoring data can reach the corresponding evaluation adjustment standards, and identifying corresponding adjustment items; the obtained adjustment items are sent to corresponding management personnel, the management personnel carry out corresponding matched adjustment decisions, and the evaluation adjustment standard is correspondingly adjusted according to the adjustment decisions to obtain target management standards corresponding to each unit management area;
the individuality management module is used for individualizing management of each unit management area, butting the building monitoring model and identifying monitoring data of each unit management area in the building monitoring model in real time; and acquiring target management standards of each unit management area, and dynamically managing corresponding equipment of the unit management area according to the target management standards and the monitoring data.
2. The intelligent building state monitoring management system based on cloud computing and multidimensional data according to claim 1, wherein each monitoring item corresponds to each display node in the building monitoring model, and the display nodes are used for displaying collected data of corresponding collecting equipment.
3. The intelligent building state monitoring and management system based on cloud computing and multidimensional data according to claim 1, wherein the method for processing feedback data stored in the storage node in the opinion feedback module comprises:
presetting feedback types, and identifying the feedback data stored in the storage node according to the feedback types to obtain feedback type data corresponding to the feedback types; integrating the feedback type data to form checking and adjusting feedback data; and integrating the feedback data which do not belong to the feedback types into artificial feedback data.
4. The intelligent building state monitoring and management system based on cloud computing and multidimensional data according to claim 1, wherein the method for dividing the area according to the building monitoring model in the matched evaluation module comprises the following steps:
step SA1: identifying each unit area in the building monitoring model, and correspondingly marking each unit area in the building monitoring model;
identifying each matched device according to a preset directory table, and obtaining a corresponding functional range of each matched device; marking each matched device and the corresponding functional range in the building monitoring model correspondingly;
step SA2: identifying each matched device with the functional range not smaller than the unit area, and marking the matched device as a reference device; marking the functional range corresponding to the reference equipment as a reference range;
step SA3: marking reference units in the unit area, and identifying each reference device whose reference range includes the reference units;
when there is no reference device including the reference unit, step SA5 is entered;
when reference equipment comprising the reference unit exists, marking the reference equipment as standard equipment, and combining the reference unit with a next-stage unit area to form a new reference unit; step SA4 is entered; if no next level unit area exists, entering step SA5;
step SA4: identifying whether the reference range of each target device includes a reference unit;
when the reference unit is not included, proceeding to step SA5;
when the reference unit is included, combining the reference unit with a next-stage unit area to form a new reference unit, and if the next-stage unit area is not present, entering step SA5; looping step SA4 until none of the target devices includes the reference unit;
step SA5: taking the reference unit as a unit management area;
step SA6: step SA3 is returned to until no cell area.
5. The intelligent building status monitoring and managing system based on cloud computing and multidimensional data according to claim 4, wherein in step S1, the preset directory table user gathers various pieces of information of the matched equipment to be analyzed.
6. The intelligent building status monitoring and management system based on cloud computing and multidimensional data of claim 4, wherein the method of setting the evaluation adjustment criteria of the unit management area comprises:
identifying households corresponding to each unit management area, butting corresponding storage nodes according to the identified household information, and identifying corresponding check adjustment feedback data in the storage nodes; and analyzing the obtained check adjustment feedback data to obtain an evaluation adjustment standard corresponding to each unit management area.
7. The intelligent building state monitoring and management system based on cloud computing and multidimensional data of claim 6, wherein the method of analyzing the obtained check adjustment feedback data comprises:
identifying feedback classification data corresponding to each resident in the unit management area according to the checking and adjusting feedback data, identifying feedback requirements of the resident according to the feedback classification data, and screening the feedback requirements to obtain corresponding target requirements;
dividing the target demand into similar demands and independent demands, identifying households corresponding to the similar demands, marking the households as target households, marking the target households as i, wherein i=1, 2, … …, n and n are the number of the target households; marking a demand value corresponding to the similar demands as TSi;
acquiring resident opinion images of each target resident, identifying the corresponding historical feedback times and demand proportion of each target resident in the similar demands according to the resident opinion images, and marking the historical feedback times and the demand proportion as Ci-freq and Xi-weight respectively;
then the formula is adjusted according to the standardCalculating standard requirement values corresponding to the similar requirements, wherein: t.par is the standard requirement value; y.par is the original standard required value;
identifying a demand value corresponding to each individual demand, and marking the demand value as TS, wherein the standard demand value T.par=Y.par+TS;
and (5) sorting the obtained standard requirement values to form an evaluation adjustment standard.
8. The intelligent building status monitoring and management system based on cloud computing and multidimensional data of claim 7, wherein the method of screening feedback requirements comprises:
summarizing the feedback requirements corresponding to each resident, simulating various feedback requirements, and formingSimulating the demand, and establishing a corresponding judgment model based on the simulation demand, wherein the expression of the judgment model is as followsWherein x represents a corresponding feedback demand, and a represents an abnormal demand; the input of the judgment model is feedback demand, and the output is judgment result y, y=g (x); and analyzing each feedback demand through a judgment model to obtain a judgment result corresponding to each feedback demand, and marking the feedback demand with the judgment result of y=0 as a target demand. />
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